Abhinav Ranish
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Mail code: 0101Campus: Tempe
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Student Information
Undergraduate StudentComputer Science (Cybersecurity)
Ira A Fulton Engineering
Abhinav Ranish is a Computer Science student at Arizona State University with a focus in Cybersecurity and a minor in Justice Studies. He builds AI, automation, and security-focused products that turn messy workflows into clean, usable systems.
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Currently working as an AI Product Manager at Trucker Path in Phoenix, where he focuses on applying AI to real-world product workflows, improving operational efficiency, and helping build practical tools for the trucking and logistics industry.
- CVfy.dev — an AI-powered resume and job-fit platform that helps users evaluate resumes against job descriptions and improve their application strategy.
- TryAda.app — an AI-focused product built around making technology more useful, accessible, and action-oriented for users.
- ASU-ClassEnroller — a Python and Selenium automation tool for class registration workflows.
- Net Audit Suite — a vulnerability scanning and reporting tool using Nmap, OpenVAS, Nikto, and AI-generated summaries.
His experience spans full-stack development, API integrations, cloud deployment, security testing, automation, and AI-assisted development.
Python JavaScript React Next.js Node.js SQL Docker AWS Burp Suite Nmap Wireshark GitHub Actions
Abhinav enjoys solving real-world technical problems, especially in AI product development, cybersecurity, automation, analytics systems, and tools that make complicated workflows easier for users.
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Visit CVfy.dev | Visit TryAda.app
Arizona State University, Tempe, AZ
B.S. in Computer Science (Cybersecurity), Minor in Justice Studies
Graduation: May 2026
Relevant Coursework: Data Structure Algorithms, Object-Oriented Programming (OOP), Effective Communication, Python
- Wireless Sensing & Wi-Fi Spectroscopy: using commodity Wi-Fi 6E signals across 2.4, 5, and 6 GHz to classify building materials.
- AI/ML for Physical Systems: applying machine learning models to signal attenuation, spectral curvature, and tri-band material fingerprints.
- Cybersecurity & Reconnaissance: exploring how wireless signals can reveal structural and environmental information without direct visual access.
- Applied AI Product Systems: building practical AI tools such as CVfy.dev and TryAda.app.
Independent student research project by Abhinav Ranish at Arizona State University.
Research project: WiSpec — Commodity Tri-Band Wi-Fi 6E Spectroscopy for Material Classification
Abhinav also builds AI products including CVfy.dev and TryAda.app, and currently works as an AI Product Manager at Trucker Path in Phoenix.
- Ranish, A. WiSpec: Commodity Tri-Band Wi-Fi 6E Spectroscopy for Material Classification and Structural Reconnaissance. Preprint / working paper, 2026.
Project Website | GitHub Repository
- Built WiSpec , a research project using commodity Wi-Fi 6E hardware for material classification and structural reconnaissance.
- Developed a modular research pipeline covering RSSI/CSI data collection, preprocessing, feature extraction, machine learning classification, visualization, and statistical testing.
- Created an IEEE-style paper draft and supporting research materials, including proposal documents, references, licensing, and reproducible scripts.
- Built CVfy.dev, an AI-powered resume and job-fit platform.
- Building TryAda.app, focused on practical AI-driven workflows.
- Most Innovative Award – Honeywell Hackathon, for developing a flight path algorithm for eVTOLs
- Honorable Mention – SpaceHack, for a project analyzing mudslides in Brazil using Google Earth Engine
- Certified Penetration Tester (CPT) – Recognized for skills in identifying and addressing cybersecurity vulnerabilities
- Dean's List – Fall 2022, Spring 2022, Fall 2023, Spring 24, Fall 24, Spring 25, Spring 26.
- Toastmasters International – President, Zenith Gavels Club (June 2020 – May 2021)
- ASU Hacking Club, Arizona State University – Active Member
- SoDA (Software Developer Association), ASU – Active Member
- ASU Chess Club – Active Member
- Google Developer Student Club, ASU – Active Member
Trucker Path, Phoenix, AZ
AI Product Manager | 2026 – Present
- Work on AI-driven product features that improve workflow efficiency, user experience, and operational decision-making.
- Collaborate across product, engineering, and business teams to translate real-world logistics problems into practical AI solutions.
Ampcus Inc, Chantilly, VA
Software Engineering Intern | June 2025 – August 2025
- Built reusable React components and integrated APIs for client-facing modules.
- Implemented filtering, dynamic dropdowns, and data table improvements using TanStack, ShadCN, and Tailwind.
- Performed web application security testing using Burp Suite to identify and analyze common vulnerabilities.
TRANZYD, San Jose, CA
AI Software Engineering Intern | December 2024 – May 2025
- Contributed to AI-powered tools for stock sentiment analysis and contract automation.
- Worked on clause extraction, semantic diffing, contract generation, and embedding-based document matching.
Arizona State University, Tempe, AZ
Technology Consultant | August 2024 – Present
- Provide classroom technology support for professors and students, troubleshooting AV, computer, and instructional technology issues.
Qatar Financial Center Regulatory Authority, Doha, Qatar
Information Technology Intern | May 2024 – July 2024
- Migrated 150+ employees to secure modern systems and supported workstation deployments.
- Mapped IT infrastructure and created diagrams to support migration planning from on-premises systems to Azure.
Mannai Corporation, Doha, Qatar
Information Technology Intern | June 2023 – July 2023
- Assisted with Cisco VLAN configuration, IP addressing, subnetting, and network segmentation.
- Contributed to an ASP.NET web project and gained exposure to enterprise IT workflows.